Two AI models have achieved gold medal standard for the first time in a prestigious competition for young mathematicians – ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

By using ML surrogates to predict required system costs and performance indicators, we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) ...

Bixby, R.E. (2012) A Brief History of Linear and Mixed-Integer Programming Computation. In Documenta Mathematica Series, EMS Press, 107-121.

About Interactive mixed integer linear programming solver in Python by Peijun Xiao, Zeyi Wang, Yuan Zhou Readme GPL-2.0 license Activity ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

In this paper, a design framework based on integer linear programming is proposed for optimizing sparse array structures. We resort to binary vectors to formulate the design problem for non-redundant ...

Integer [Linear] Programming Algorithms for integer programming often take a first stab at a solution with linear programming, which is outwardly similar but allows the variables to vary continuously.

In this study, we propose a mining cut clustering model based on Mixed Integer Linear Programming (MILP). Then we solve it by an exact approach and by Constraint Programming (CP), analyzing the ...